F2C MCP Server

The F2C MCP Server is a dedicated bridge that connects AI assistants to Figma design files, enabling the seamless conversion of visual mockups into production‑ready code. By exposing Figma’s design context through the Model Context Protocol, it allows developers to query, modify, and export components directly from their AI‑powered IDEs. This eliminates the need for manual handoff between designers and developers, dramatically speeding up the front‑end workflow.

At its core, the server offers a pixel‑perfect HTML/CSS generator. When an AI assistant receives a Figma node URL, the server parses the link, pulls the design data, and produces clean HTML along with either CSS Modules or Tailwind CSS. The resulting code matches the original Figma layout down to individual pixels, ensuring visual fidelity without additional tweaking. For teams that rely on React, the server also outputs ready‑to‑use JSX components, making it straightforward to integrate design assets into a React codebase.

Beyond conversion, the server enriches AI interactions with remote image localization. Images embedded in Figma are automatically downloaded and stored locally, eliminating broken references or external hosting concerns. It also supports Figma file URL parsing, so a simple link pasted into the chat can trigger an entire conversion pipeline. Developers can request node data, download assets, or generate code—all within the same conversational context.

The F2C MCP Server is especially valuable for AI‑enabled IDEs such as Cursor, Trae, or Comate. By configuring the server once, a developer can open an AI chat, paste a Figma node link, and instruct the assistant to “convert this component to React with Tailwind.” The server handles all API calls, returns the generated code, and even updates the local file system. This tight integration turns design files into executable code in seconds, reducing friction for rapid prototyping and iterative development.

Unique advantages include multi‑framework support—the server can output plain HTML/CSS, React components with CSS Modules, or Tailwind‑styled snippets—allowing teams to adopt the tool regardless of their preferred stack. Additionally, the server’s design context integration means that AI assistants can understand layer hierarchies, constraints, and styles, enabling more intelligent queries such as “what is the padding of this component?” or “list all text styles used.” These capabilities make F2C MCP a powerful ally for developers looking to automate the design‑to‑code pipeline while maintaining full control over the output.